Artificial Intelligence Engineer

Role Overview

Albany Beck are seeking an experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. This role focuses on leveraging large-scale data, building robust machine learning algorithms, and continuously evaluating and improving AI processes to drive measurable business impact.

You will play a key role in shaping AI strategy, managing infrastructure, and collaborating cross-functionally to define and achieve AI objectives.

Key Responsibilities

Data & Analysis

• Collect, process, and analyse large volumes of structured and unstructured data
• Design data pipelines to support scalable AI development
• Ensure data quality, governance, and integrity

AI Development & Engineering

• Program AI software to effectively leverage large datasets
• Develop, test, and deploy machine learning algorithms into production
• Optimize model performance, scalability, and efficiency
• Implement continuous improvement processes for AI systems

Evaluation & Optimization

• Evaluate machine learning workflows and model performance
• Design metrics and benchmarking frameworks to assess AI effectiveness
• Conduct experiments and performance tuning to improve outcomes
• Identify and mitigate bias, risk, and performance bottlenecks

Infrastructure & Project Management

• Manage AI-related data infrastructure and cloud environments
• Oversee project timelines and AI system lifecycle management
• Ensure systems are reliable, secure, and production-ready
• Support CI/CD processes for AI deployment

Collaboration & Leadership

• Collaborate with engineering, product, and business stakeholders to define AI goals
• Translate business requirements into technical AI solutions
• Provide guidance and mentorship to junior engineers
• Stay up to date on emerging AI research, tools, and industry best practices

Required Qualifications

• 5+ years of experience in AI, machine learning, or data engineering
• Strong experience collecting and analysing large datasets
• Proven track record of developing and deploying AI algorithms in production
• Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn)
• Experience managing AI infrastructure and cloud environments
• Strong understanding of model evaluation techniques and performance metrics
• Experience collaborating across technical and non-technical teams